Electricity Consumption and Regional Economic Growth: An Analysis Based on Multiple Regression and Random Forest Models

This study aims to examine the relationship between energy usage and regional economic growth by employing multiple regression and random forest forecasting models. The results of this study indicate a statistically significant and positive correlation between electricity consumption and the economic development of a given region. The aforementioned correlation is notably apparent in the central and western areas, as well as in cities located outside the core area and beyond provincial capitals. The present study utilizes the random forest model to anticipate economic growth and achieve positive prediction results, with energy consumption playing a pivotal part in the forecasting process. Finally, we propose policy recommendations focused on improving electricity efficiency, promoting technological innovation and industrial upgrading, and formulating differentiated energy-saving policies. This paper provides theoretical foundations and practical support for governments to balance energy conservation and emission reduction with economic growth.